Evidence map›Paper›PMID 31032172›Full record

ArticleCurrent epidemiology reports2019

DNA methylation signatures as biomarkers of prior environmental exposures.

Christine Ladd-Acosta, M Daniele Fallin

Abstract read
In one paragraph

Article in Current epidemiology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Christine Ladd-AcostaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
M Daniele FallinWendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · US

Funding

Environment, The Perinatal Epigenome, and Risk for Autism and Related DisordersR01ES017646 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE, FEINBERG, ANDREW P. · 2009 to 2013
$8.7M
Component A: MD CADDRE: Study to Explore Early Development, SEED Phase IIIU01DD001214 · DD · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE · 2016 to 2020
$5.2M
Prenatal exposure to metals and risk for Autism Spectrum Disorder in MARBLES and EARLIR01ES025531 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2016 to 2020
$3.2M
Autism Speaks AS7659NCBDD CDC HHS U01 DD001214NIEHS NIH HHS R01 ES017646NIEHS NIH HHS R01 ES025531
6 · The paper itself

Abstract

purpose of reviewThis review demonstrates the growing body of evidence connecting DNA methylation to prior exposure. It highlights the potential to use DNA methylation patterns as a feasible, stable, and accurate biomarker of past exposure, opening new opportunities for environmental and gene-environment interaction studies among existing banked samples. RECENT

findingsWe present the evidence for association between past exposure, including prenatal exposures, and DNA methylation measured at a later time in the life course. We demonstrate the potential utility of DNA methylation-based biomarkers of past exposure using results from multiple studies of smoking as an example. Multiple studies show the ability to accurately predict prenatal smoking exposure based on DNA methylation measured at birth, in childhood, and even adulthood. Separate sets of DNA methylation loci have been used to predict past personal smoking exposure (postnatal) as well. Further, it appears that these two types of exposures, prenatal and previous personal exposure, can be isolated from each other. There is also a suggestion that quantitative methylation scores may be useful for estimating dose. We highlight the remaining needs for rigor in methylation biomarker development including analytic challenges as well as the need for development across multiple developmental windows, multiple tissue types, and multiple ancestries. SUMMARY: If fully developed, DNA methylation-based biomarkers can dramatically shift our ability to carry out environmental and genetic-environmental epidemiology using existing biobanks, opening up unprecedented opportunities for environmental health.

Indexed as

biomarkerDNA methylationenvironmental exposureepigenomicEWASpast exposureprenatal smoking

Identifiers

PMID31032172
PMCPMC6481677
OpenAlexW2913403141

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.